首页> 外文会议>International Conference on Computer Engineering and Technology;ICCET 2010 >Numerical Simulation and Experiment for Defect Detection of Composites by Thermal Wave NDT
【24h】

Numerical Simulation and Experiment for Defect Detection of Composites by Thermal Wave NDT

机译:热波无损检测复合材料缺陷的数值模拟与实验

获取原文

摘要

Since the use of advanced composite materials continues to increase in the area of aviation and navigation,the need for a quantitative,rapid,in-service inspection technology has become a critical concern throughout the industry and practice. Thermal Wave Nondestructive Testing (TW-NDT) technology,which has proved to be an effective method,was used to detect defects in composite materials of missile motor in this paper. Based on numerical analysis,the optimum parameters of heat flux and heating time for the best defect detectability was worked out theoretically. And also the factors influencing the testing sensitivity were further studied,including the defect size,depth,thickness and thermal diffusion coefficient,etc. The results show that TW NDT can identify the defect depth,size and position rapidly and effectively,and the bigger,nearer-surface and thicker of the defect,the easier to be inspected by this method. The most important factors which affect the sensitivity of TW inspection are the defect depth and heating parameters. Finally,experiment for a glass-fiber composites sample with three different diameters at different depths was investigated to verify the conclusions of numerical analysis. And image enhancement and segmentation methods were used to reduce noise and improve image contrast,which help to achieve defect recognition.
机译:由于在航空和导航领域高级复合材料的使用不断增加,因此对定量,快速,在役检查技术的需求已成为整个行业和实践中的关键问题。本文采用热波无损检测技术(TW-NDT)检测导弹电机复合材料中的缺陷,是一种有效的方法。在数值分析的基础上,理论上确定了最佳缺陷检测能力的最佳热通量和加热时间。并且进一步研究了影响测试灵敏度的因素,包括缺陷尺寸,深度,厚度和热扩散系数等。结果表明,TW NDT可以快速,有效地识别缺陷的深度,大小和位置,并且缺陷越大,表面越近,越厚,该方法就越容易检查。影响TW检测灵敏度的最重要因素是缺陷深度和加热参数。最后,对三种不同直径,不同深度的玻璃纤维复合材料样品进行了实验,以验证数值分析的结论。并使用图像增强和分割方法来减少噪声并提高图像对比度,这有助于实现缺陷识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号